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南京农业大学农学院《IEEE Transactions on Geoscience and Remote Sensing》发表智慧农业团队“Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data”（图）
智慧农业 智能解析 遗传育种
2024/6/11
作物表型高通量获取和智能解析为高效精准筛选优良种质资源提供技术支撑。2024年来，南京农业大学农学院智慧农业团队的作物表型监测组师生,利用地基激光雷达量化小麦冠层的叶角分布，取得了突破性进展。研究结果2024年4月4日以“Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data”为题，发表...
Monitoring intra-annual and interannual variability in spatial distribution of plastic-mulched citrus in cloudy and rainy areas using multisource remote sensing data（图）
Monitoring intra-annual interannual variability spatial distribution plastic-mulched citrus
2024/4/1
The technology of canopy plastic mulching has been widely used in citrus orchards for protecting fruit trees from cold damage. Understanding the spatio-temporal dynamics of plastic-mulched citrus (PMC...
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
tree species classification Sentinel-2 multi-temporal Wienerwald biosphere reserve
2024/1/23
Detailed knowledge about tree species composition is of great importance for?forest?management. The two identical European Space Agency (ESA) Sentinel-2 (S2) satellites provide data with unprecedented...
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
Mangroves Aboveground biomass UAV-LiDAR Sentinel-2 Random forest
2024/1/23
The mangrove forests of northeast Hainan Island are the most species diverse forests in China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial Nature Reserve. The former ...
Integrating LiDAR, Multispectral and SAR Data to Estimate and Map Canopy Height in Tropical Forests
ALOS-PALSAR dry tropical forest Landsat-8 learning algorithms moist tropical forest Sentinel-1 spatial modelling
2024/1/22
Developing accurate methods to map vegetation structure in tropical forests is essential to protect their biodiversity and improve their carbon stock estimation. We integrated LIDAR (Light Detection a...
Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data
Space-borne imagery Stereogrammetry Boreal forest structure Biomass mapping Open data
2024/1/22
Boreal forests constitute a large portion of the global forest area, yet they are undersampled through field surveys, and only a few remotely sensed data sources provide structural information wall-to...
Estimation of Forest Structural Parameters Using UAV-LiDAR Data and a Process-Based Model in Ginkgo Planted Forests
Forestry Structural engineering Measurement Laser radar Predictive models
2024/1/19
Developing an accurate model for estimating the forest structural parameters of planted forests is crucial for forest productivity predictions and can provide a better understanding of the carbon cycl...
Fine scale plant community assessment in coastal meadows using UAV based multispectral data
Coastal plant communities UAV Vegetation indices Random forests Unsupervised classification
2024/1/19
Coastal meadows worldwide are subjected to habitat degradation due to abandonment, intensification and the impacts of global change. In order to protect and restore these habitats and ensure the suppl...
Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data
East Rennell World Heritage Site (ERWHS) vegetation cover forest cover dynamic monitoring multi-sources remote sensing data
2024/1/19
East Rennell of Solomon Island is the first natural site under customary law to be inscribed on UNESCO's World Heritage List. Potential threats due to logging, mining and agriculture led to the site b...
Grouping-Based Time-Series Model for Monitoring of Fall Peak Coloration Dates Using Satellite Remote Sensing Data
phenology monitoring fall foliage coloration grouping-based time-series analysis spatial and temporal scale optical remote sensing
2024/1/12
Accurate monitoring of plant phenology is vital to effective understanding and prediction of the response of vegetation ecosystems to climate change. Satellite remote sensing is extensively employed t...
Carbon Stock Estimations in a Mediterranean Riparian Forest: A Case Study Combining Field Data and UAV Imagery
above ground biomass (AGB) carbon stocks ecosystem services riparian allometric equations unmanned aerial vehicle (UAV)
2024/1/11
This study aims to estimate the total biomass aboveground and soil carbon stocks in a Mediterranean riparian forest and identify the contribution of the different species and ecosystem compartments to...
Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine Learning Algorithms-Case Study of Evergreen Conifer Planted Forests in Japan
UAS stem volume TLS SAR random forest support vector multiple regression forest biophysical parameter
2023/12/21
The development of new methods for estimating precise forest structure parameters is essential for the quantitative evaluation of forest resources. Conventional use of satellite image data, increasing...
Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection
Airborne LiDAR Landsat-8 tropical forest canopy height aboveground biomass Congo Basin Forest
2023/12/19
Inventories of tropical forest aboveground biomass (AGB) are often imprecise and sparse. Increasingly,?airborne?Light Detection And Ranging (LiDAR) and satellite optical wavelength sensor data are use...
Walking through the forests of the future: using data-driven virtual reality to visualize forests under climate change
Virtual reality 3d visualization geovisualization scientific visualization landscape visualization
2023/12/15
Communicating and understanding climate induced environmental changes can be challenging, especially using traditional representations such as graphs, maps or photos. Immersive visualizations and expe...
Coupling Photosynthetic Measurements with Biometric Data to Estimate Gross Primary Productivity (GPP) in Mediterranean Pine Forests of Different Post-Fire Age
Pinus brutia carbon fluxes leaf area index light response curve conifer forests
2023/12/15
Quantification of forest Gross Primary Productivity (GPP) is important for understanding ecosystem function and designing appropriate carbon mitigation strategies. Coupling forest biometric data with ...